Analyze and Development System with Multiple Biometric Identification

TL;DR

This paper discusses the development of multimodal biometric systems that combine multiple physical and behavioral characteristics to enhance security and address limitations of traditional authentication methods.

Contribution

It introduces a comprehensive overview of multimodal biometric identification systems and their increasing application across various sectors for improved security.

Findings

Multimodal biometric systems improve security over unimodal systems.

Biometric methods are now widely used in banking, healthcare, and security.

Combining multiple biometrics reduces false acceptance and rejection rates.

Abstract

Cause of a rapid increase in technological development, increasing identity theft, consumer fraud, the threat to personal data is also increasing every day. Methods developed earlier to ensure personal the information from the thefts was not effective and safe. Biometrics were introduced when it was needed technology for more efficient security of personal information. Old-fashioned traditional approaches like Personal identification number( PIN), passwords, keys, login ID can be forgotten, stolen or lost. In biometric authentication system, user may not remember any passwords or carry any keys. As people they recognize each other by the physical appearance and behavioral characteristics that biometric systems use physical characteristics, such as fingerprints, facial recognition, voice recognition, in order to distinguish between the actual user and scammer. In order to increase safety in 2005, biometric identification methods were developed government and business sectors, but today it has reached almost all private sectors as Banking, Finance, home security and protection, healthcare, business security and security etc. Since biometric samples and templates of a biometric system having one biometric character to detect and the user can be replaced and duplicated, the new idea of merging multiple biometric identification technologies has so-called multimodal biometric recognition systems have been introduced that use two or more biometric data characteristics of the individual that can be identified as a real user or not.